Consultant Data Scientist/AI Engineer
Tasks
- Administer AI platform
- Build data pipelines
- Build intelligent action chains
- Communicate value of solutions
- Conduct AI research and development
- Contribute to knowledge sharing
- Develop deep learning models
- Develop internal tools and libraries
- Develop machine learning models
- Expose data to use cases
- Frame data collection
- Implement agentic AI systems
- Ingest data sources
- Integrate AI into applications
- Maintain technology watch
- Monitor project progress
- Orchestrate LLM workflows
- Perform data preprocessing
- Perform machine learning analysis
- Present results to business stakeholders
- Process data
- Transform data
- Visualize data
Perks/Benefits
- Digital communication involvement
- Humanitarian involvement
- RSE initiatives
- Technology learning opportunities
Skills/Tech-stack
AWS | Azure | Dash | Data Lake | Data Visualization | Data Warehouse | Data pipeline | Deep learning | Dify | Django | Docker | FastAPI | Flask | GCP | Git | LLM | Langchain | Langgraph | Machine Learning | N8n | Python | RAG | SQL | Streamlit
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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